automatic import of python-nlp-primitives

3 files changed, 451 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..dfe1971 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/nlp_primitives-2.10.0.tar.gz
diff --git a/python-nlp-primitives.spec b/python-nlp-primitives.spec
new file mode 100644
index 0000000..0ebf336
--- /dev/null
+++ b/python-nlp-primitives.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-nlp-primitives
+Version:	2.10.0
+Release:	1
+Summary:	natural language processing primitives for Featuretools
+License:	BSD 3-clause
+URL:		https://pypi.org/project/nlp-primitives/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b3/f0/c5034c106873854af7b1b69c65377d13ff44290eefb7626d40d231d95dc9/nlp_primitives-2.10.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-featuretools
+Requires:	python3-nltk
+Requires:	python3-scikit-learn
+Requires:	python3-woodwork
+Requires:	python3-tensorflow-hub
+Requires:	python3-tensorflow
+Requires:	python3-tensorflow-metal
+Requires:	python3-tensorflow-macos
+Requires:	python3-ruff
+Requires:	python3-black[jupyter]
+Requires:	python3-pre-commit
+Requires:	python3-nlp-primitives[test]
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-pytest-xdist
+
+%description
+# NLP Primitives
+
+<p align="center">
+    <a href="https://codecov.io/gh/alteryx/nlp_primitives">
+        <img src="https://codecov.io/gh/alteryx/nlp_primitives/branch/main/graph/badge.svg"/>
+    </a>
+    <a href="https://github.com/alteryx/nlp_primitives/actions?query=branch%3Amain+workflow%3ATests" target="_blank">
+        <img src="https://github.com/alteryx/nlp_primitives/workflows/Tests/badge.svg?branch=main" alt="Tests" />
+    </a>
+    <a href="https://badge.fury.io/py/nlp_primitives" target="_blank">
+        <img src="https://badge.fury.io/py/nlp_primitives.svg?maxAge=2592000" alt="PyPI Version" />
+    </a>
+    <a href="https://anaconda.org/conda-forge/nlp_primitives" target="_blank">
+        <img src="https://anaconda.org/conda-forge/nlp-primitives/badges/version.svg" alt="Anaconda Version" />
+    </a>
+    <a href="https://stackoverflow.com/questions/tagged/featuretools" target="_blank">
+        <img src="http://img.shields.io/badge/questions-on_stackoverflow-blue.svg" alt="StackOverflow" />
+    </a> 
+    <a href="https://pepy.tech/project/nlp_primitives" target="_blank">
+        <img src="https://pepy.tech/badge/nlp_primitives/month" alt="PyPI Downloads" />
+    </a>
+</p>
+<hr>
+
+nlp_primitives is a Python library with Natural Language Processing Primitives, intended for use with [Featuretools](https://github.com/Featuretools/featuretools).
+
+nlp_primitives allows you to make use of text data in your machine learning pipeline in the same pipeline as the rest of your data.
+
+## Installation
+
+There are two options for installing nlp_primitives. Both of the options will also install Featuretools if it is not already installed.
+
+The first option is to install a version of nlp_primitives that does not include Tensorflow. With this option, primitives that depend on Tensorflow cannot be used. Currently, the only primitive that can not be used with this install option is ``UniversalSentenceEncoder``.
+
+#### PyPi
+nlp_primitives without Tensorflow can be installed with pip:
+```shell
+python -m pip install nlp_primitives
+```
+
+#### conda-forge
+or from the conda-forge channel on conda:
+```shell
+conda install -c conda-forge nlp-primitives
+```
+
+The second option is to install the complete version of nlp_primitives, which will also install Tensorflow and allow use of all primitives. 
+
+To install the complete version of nlp_primitives with pip:
+```shell
+python -m pip install "nlp_primitives[complete]"
+```
+or from the conda-forge channel on conda:
+```shell
+conda install -c conda-forge nlp-primitives-complete
+```
+
+### Demos
+
+* [Blog Post](https://blog.featurelabs.com/natural-language-processing-featuretools/)
+* [Predict resturant review ratings](https://github.com/FeatureLabs/predict-restaurant-rating)
+
+## Calculating Features
+With nlp_primitives primtives in `featuretools`, this is how to calculate the same feature.
+
+```python
+from featuretools.nlp_primitives import PolarityScore
+
+data = ["hello, this is a new featuretools library",
+        "this will add new natural language primitives",
+        "we hope you like it!"]
+
+pol = PolarityScore()
+pol(data)
+```
+```
+0    0.365
+1    0.385
+2    1.000
+dtype: float64
+```
+## Combining Primitives
+In `featuretools`, this is how to combine nlp_primitives primitives with built-in or other installed primitives.
+```python
+import featuretools as ft
+from featuretools.nlp_primitives import TitleWordCount
+from featuretools.primitives import Mean
+
+entityset = ft.demo.load_retail()
+feature_matrix, features = ft.dfs(entityset=entityset, target_dataframe_name='products', agg_primitives=[Mean], trans_primitives=[TitleWordCount])
+
+feature_matrix.head(5)
+```
+```
+           MEAN(order_products.quantity)  MEAN(order_products.unit_price)  MEAN(order_products.total)  TITLE_WORD_COUNT(description)
+product_id
+10002                         16.795918                          1.402500                   23.556276                           3.0
+10080                         13.857143                          0.679643                    8.989357                           3.0
+10120                          6.620690                          0.346500                    2.294069                           2.0
+10123C                         1.666667                          1.072500                    1.787500                           3.0
+10124A                           3.2000                            0.6930                      2.2176                           5.0
+```
+
+## Development
+To install from source, clone this repo and run
+```bash
+make installdeps-test
+```
+
+This will install all pip dependencies.
+
+## Built at Alteryx
+
+**NLP Primitives** is an open source project maintained by [Alteryx](https://www.alteryx.com). To see the other open source projects we’re working on visit [Alteryx Open Source](https://www.alteryx.com/open-source). If building impactful data science pipelines is important to you or your business, please get in touch.
+
+<p align="center">
+  <a href="https://www.alteryx.com/open-source">
+    <img src="https://alteryx-oss-web-images.s3.amazonaws.com/OpenSource_Logo-01.png" alt="Alteryx Open Source" width="800"/>
+  </a>
+</p>
+
+
+%package -n python3-nlp-primitives
+Summary:	natural language processing primitives for Featuretools
+Provides:	python-nlp-primitives
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-nlp-primitives
+# NLP Primitives
+
+<p align="center">
+    <a href="https://codecov.io/gh/alteryx/nlp_primitives">
+        <img src="https://codecov.io/gh/alteryx/nlp_primitives/branch/main/graph/badge.svg"/>
+    </a>
+    <a href="https://github.com/alteryx/nlp_primitives/actions?query=branch%3Amain+workflow%3ATests" target="_blank">
+        <img src="https://github.com/alteryx/nlp_primitives/workflows/Tests/badge.svg?branch=main" alt="Tests" />
+    </a>
+    <a href="https://badge.fury.io/py/nlp_primitives" target="_blank">
+        <img src="https://badge.fury.io/py/nlp_primitives.svg?maxAge=2592000" alt="PyPI Version" />
+    </a>
+    <a href="https://anaconda.org/conda-forge/nlp_primitives" target="_blank">
+        <img src="https://anaconda.org/conda-forge/nlp-primitives/badges/version.svg" alt="Anaconda Version" />
+    </a>
+    <a href="https://stackoverflow.com/questions/tagged/featuretools" target="_blank">
+        <img src="http://img.shields.io/badge/questions-on_stackoverflow-blue.svg" alt="StackOverflow" />
+    </a> 
+    <a href="https://pepy.tech/project/nlp_primitives" target="_blank">
+        <img src="https://pepy.tech/badge/nlp_primitives/month" alt="PyPI Downloads" />
+    </a>
+</p>
+<hr>
+
+nlp_primitives is a Python library with Natural Language Processing Primitives, intended for use with [Featuretools](https://github.com/Featuretools/featuretools).
+
+nlp_primitives allows you to make use of text data in your machine learning pipeline in the same pipeline as the rest of your data.
+
+## Installation
+
+There are two options for installing nlp_primitives. Both of the options will also install Featuretools if it is not already installed.
+
+The first option is to install a version of nlp_primitives that does not include Tensorflow. With this option, primitives that depend on Tensorflow cannot be used. Currently, the only primitive that can not be used with this install option is ``UniversalSentenceEncoder``.
+
+#### PyPi
+nlp_primitives without Tensorflow can be installed with pip:
+```shell
+python -m pip install nlp_primitives
+```
+
+#### conda-forge
+or from the conda-forge channel on conda:
+```shell
+conda install -c conda-forge nlp-primitives
+```
+
+The second option is to install the complete version of nlp_primitives, which will also install Tensorflow and allow use of all primitives. 
+
+To install the complete version of nlp_primitives with pip:
+```shell
+python -m pip install "nlp_primitives[complete]"
+```
+or from the conda-forge channel on conda:
+```shell
+conda install -c conda-forge nlp-primitives-complete
+```
+
+### Demos
+
+* [Blog Post](https://blog.featurelabs.com/natural-language-processing-featuretools/)
+* [Predict resturant review ratings](https://github.com/FeatureLabs/predict-restaurant-rating)
+
+## Calculating Features
+With nlp_primitives primtives in `featuretools`, this is how to calculate the same feature.
+
+```python
+from featuretools.nlp_primitives import PolarityScore
+
+data = ["hello, this is a new featuretools library",
+        "this will add new natural language primitives",
+        "we hope you like it!"]
+
+pol = PolarityScore()
+pol(data)
+```
+```
+0    0.365
+1    0.385
+2    1.000
+dtype: float64
+```
+## Combining Primitives
+In `featuretools`, this is how to combine nlp_primitives primitives with built-in or other installed primitives.
+```python
+import featuretools as ft
+from featuretools.nlp_primitives import TitleWordCount
+from featuretools.primitives import Mean
+
+entityset = ft.demo.load_retail()
+feature_matrix, features = ft.dfs(entityset=entityset, target_dataframe_name='products', agg_primitives=[Mean], trans_primitives=[TitleWordCount])
+
+feature_matrix.head(5)
+```
+```
+           MEAN(order_products.quantity)  MEAN(order_products.unit_price)  MEAN(order_products.total)  TITLE_WORD_COUNT(description)
+product_id
+10002                         16.795918                          1.402500                   23.556276                           3.0
+10080                         13.857143                          0.679643                    8.989357                           3.0
+10120                          6.620690                          0.346500                    2.294069                           2.0
+10123C                         1.666667                          1.072500                    1.787500                           3.0
+10124A                           3.2000                            0.6930                      2.2176                           5.0
+```
+
+## Development
+To install from source, clone this repo and run
+```bash
+make installdeps-test
+```
+
+This will install all pip dependencies.
+
+## Built at Alteryx
+
+**NLP Primitives** is an open source project maintained by [Alteryx](https://www.alteryx.com). To see the other open source projects we’re working on visit [Alteryx Open Source](https://www.alteryx.com/open-source). If building impactful data science pipelines is important to you or your business, please get in touch.
+
+<p align="center">
+  <a href="https://www.alteryx.com/open-source">
+    <img src="https://alteryx-oss-web-images.s3.amazonaws.com/OpenSource_Logo-01.png" alt="Alteryx Open Source" width="800"/>
+  </a>
+</p>
+
+
+%package help
+Summary:	Development documents and examples for nlp-primitives
+Provides:	python3-nlp-primitives-doc
+%description help
+# NLP Primitives
+
+<p align="center">
+    <a href="https://codecov.io/gh/alteryx/nlp_primitives">
+        <img src="https://codecov.io/gh/alteryx/nlp_primitives/branch/main/graph/badge.svg"/>
+    </a>
+    <a href="https://github.com/alteryx/nlp_primitives/actions?query=branch%3Amain+workflow%3ATests" target="_blank">
+        <img src="https://github.com/alteryx/nlp_primitives/workflows/Tests/badge.svg?branch=main" alt="Tests" />
+    </a>
+    <a href="https://badge.fury.io/py/nlp_primitives" target="_blank">
+        <img src="https://badge.fury.io/py/nlp_primitives.svg?maxAge=2592000" alt="PyPI Version" />
+    </a>
+    <a href="https://anaconda.org/conda-forge/nlp_primitives" target="_blank">
+        <img src="https://anaconda.org/conda-forge/nlp-primitives/badges/version.svg" alt="Anaconda Version" />
+    </a>
+    <a href="https://stackoverflow.com/questions/tagged/featuretools" target="_blank">
+        <img src="http://img.shields.io/badge/questions-on_stackoverflow-blue.svg" alt="StackOverflow" />
+    </a> 
+    <a href="https://pepy.tech/project/nlp_primitives" target="_blank">
+        <img src="https://pepy.tech/badge/nlp_primitives/month" alt="PyPI Downloads" />
+    </a>
+</p>
+<hr>
+
+nlp_primitives is a Python library with Natural Language Processing Primitives, intended for use with [Featuretools](https://github.com/Featuretools/featuretools).
+
+nlp_primitives allows you to make use of text data in your machine learning pipeline in the same pipeline as the rest of your data.
+
+## Installation
+
+There are two options for installing nlp_primitives. Both of the options will also install Featuretools if it is not already installed.
+
+The first option is to install a version of nlp_primitives that does not include Tensorflow. With this option, primitives that depend on Tensorflow cannot be used. Currently, the only primitive that can not be used with this install option is ``UniversalSentenceEncoder``.
+
+#### PyPi
+nlp_primitives without Tensorflow can be installed with pip:
+```shell
+python -m pip install nlp_primitives
+```
+
+#### conda-forge
+or from the conda-forge channel on conda:
+```shell
+conda install -c conda-forge nlp-primitives
+```
+
+The second option is to install the complete version of nlp_primitives, which will also install Tensorflow and allow use of all primitives. 
+
+To install the complete version of nlp_primitives with pip:
+```shell
+python -m pip install "nlp_primitives[complete]"
+```
+or from the conda-forge channel on conda:
+```shell
+conda install -c conda-forge nlp-primitives-complete
+```
+
+### Demos
+
+* [Blog Post](https://blog.featurelabs.com/natural-language-processing-featuretools/)
+* [Predict resturant review ratings](https://github.com/FeatureLabs/predict-restaurant-rating)
+
+## Calculating Features
+With nlp_primitives primtives in `featuretools`, this is how to calculate the same feature.
+
+```python
+from featuretools.nlp_primitives import PolarityScore
+
+data = ["hello, this is a new featuretools library",
+        "this will add new natural language primitives",
+        "we hope you like it!"]
+
+pol = PolarityScore()
+pol(data)
+```
+```
+0    0.365
+1    0.385
+2    1.000
+dtype: float64
+```
+## Combining Primitives
+In `featuretools`, this is how to combine nlp_primitives primitives with built-in or other installed primitives.
+```python
+import featuretools as ft
+from featuretools.nlp_primitives import TitleWordCount
+from featuretools.primitives import Mean
+
+entityset = ft.demo.load_retail()
+feature_matrix, features = ft.dfs(entityset=entityset, target_dataframe_name='products', agg_primitives=[Mean], trans_primitives=[TitleWordCount])
+
+feature_matrix.head(5)
+```
+```
+           MEAN(order_products.quantity)  MEAN(order_products.unit_price)  MEAN(order_products.total)  TITLE_WORD_COUNT(description)
+product_id
+10002                         16.795918                          1.402500                   23.556276                           3.0
+10080                         13.857143                          0.679643                    8.989357                           3.0
+10120                          6.620690                          0.346500                    2.294069                           2.0
+10123C                         1.666667                          1.072500                    1.787500                           3.0
+10124A                           3.2000                            0.6930                      2.2176                           5.0
+```
+
+## Development
+To install from source, clone this repo and run
+```bash
+make installdeps-test
+```
+
+This will install all pip dependencies.
+
+## Built at Alteryx
+
+**NLP Primitives** is an open source project maintained by [Alteryx](https://www.alteryx.com). To see the other open source projects we’re working on visit [Alteryx Open Source](https://www.alteryx.com/open-source). If building impactful data science pipelines is important to you or your business, please get in touch.
+
+<p align="center">
+  <a href="https://www.alteryx.com/open-source">
+    <img src="https://alteryx-oss-web-images.s3.amazonaws.com/OpenSource_Logo-01.png" alt="Alteryx Open Source" width="800"/>
+  </a>
+</p>
+
+
+%prep
+%autosetup -n nlp-primitives-2.10.0
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-nlp-primitives -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 2.10.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..d45cd56
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+df1a6d09dd0d277630bad176a3d1b5cb  nlp_primitives-2.10.0.tar.gz